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Explore the intricacies of AI-driven retail demand planning in this insightful conference talk by Kanchana Padmanabhan, Director of Data Science at Kinaxis. Delve into the challenges and solutions of promotion planning in retail, focusing on Kinaxis' Optimize product. Discover how this AI-driven tool automates the process of deciding which products to promote, when to promote them, and what promotion parameters to apply. Learn about the importance of monotonicity and smoothness in demand estimation models, and understand why these conditions are crucial for demand planners. Examine the complexities of advanced machine learning models when applied to retail data, and uncover a model-agnostic methodology that ensures consistent and smooth demand estimations. Gain valuable insights into the practical application of AI in retail planning and the innovative approaches used to overcome data-related challenges in this field.
